Purpose

The purpose of this study is to revisit the measures of internal consistency for multi-item scales in hospitality research and compare the performance of Cronbach’s α, omega total (ω_Total), omega hierarchical (ω_H), Revelle’s omega total (ω_RT), Minimum Rank Factor Analysis (GLB_fa) and GLB algebraic (GLB_a).

Design/methodology/approach

A Monte Carlo simulation was conducted to compare the performance of the six reliability estimators under different conditions common in hospitality research. Second, this study analyzed a data set to complement the simulation study.

Findings

Overall, ω_Total was the best-performing estimator across all conditions, whereas ω_H performed the poorest. α performed well when factor loadings were high with low variability (high/low) and large sample sizes. Similarly, ω_RT, GLB_fa and GLB_a performed consistently well when loadings were high and less variable as well as the sample size and the number of scale items increased. Of the two GLB estimators, GLB_a consistently outperformed GLB_fa.

Practical implications

This study provides hospitality managers with a better understanding of what reliability is and the various reliability estimators. Using reliable instruments ensures that organizations draw accurate conclusions that help them move closer to realizing their visions.

Originality/value

Though popular in other fields, reliability discussions have not yet received substantial attention in hospitality. This study raises these discussions in the context of hospitality research to promote better practices for assessing the reliability of scales used within the hospitality domain.

中文翻译：

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重新审视酒店研究的内部一致性：对规模质量进行更全面的评估

目的

本研究的目的是重新审视酒店研究中多项目量表的内部一致性测量，并比较 Cronbach's α、 omega Total ( ω _Total )、 omega hierarchical ( ω _H )、 Revelle's omega Total ( ω _RT )的表现、最小等级因子分析 (GLB _fa ) 和 GLB 代数 (GLB _a )。

设计/方法论/途径

进行了蒙特卡罗模拟，以比较酒店研究中常见的不同条件下的六种可靠性估计器的性能。其次，本研究分析了数据集以补充模拟研究。

发现

总体而言，ω _Total是所有条件下表现最好的估计器，而ω _H表现最差。当因子负荷高、变异性低（高/低）和大样本量时，α表现良好。类似地，当载荷较高且变化较小以及样本大小和量表项目数量增加时，ω _RT、GLB _fa和 GLB _{a始终表现良好。}在两个 GLB 估计器中，GLB _a始终优于 GLB _fa。

实际影响

这项研究使酒店管理人员能够更好地了解什么是可靠性以及各种可靠性估计器。使用可靠的工具可确保组织得出准确的结论，帮助他们更接近实现自己的愿景。

原创性/价值

尽管可靠性讨论在其他领域很受欢迎，但在酒店业尚未受到实质性关注。本研究在酒店业研究的背景下提出了这些讨论，以促进评估酒店业领域使用的量表可靠性的更好实践。